Program Overview

Master of Digital Transformation and Innovation (Online)

The Master of Digital Transformation and Innovation (Online) is a multi-faculty collaboration between the Telfer School of Management, the Faculty of Arts, and the Faculty of Engineering. This program trains highly qualified professionals to create, manage, and research the profound change happening in the world due to electronic digital technology.

Program Description

The program focuses on the collection and communication of huge amounts of data that transform how business and society work. It also creates a new online environment where the experience of business and social interactions by individuals is being reinvented. Innovation is an essential aspect of the program, emphasizing the re-invention and creative design of user experiences in business and social interactions.

Program Objectives

In this program, students will:

• Develop and demonstrate the ability to communicate with and integrate multidisciplinary expertise related to digital transformation and innovation.
• Develop and demonstrate the ability to lead, design, and create applications of digital transformation and innovation using current and emerging tools, techniques, and technology.
• Develop skills in management, technology, communications, information architecture, data science, UX design, and gender/cultural awareness and demonstrate the ability to apply them in practice.
• Develop and demonstrate the ability to assess, test, and research digital transformation and innovation with sensitivity and awareness around ethics, equity, diversity, business, and social impact.

Other Programs Offered

Other programs offered within the same discipline or in a related area include:

• Doctorate in Philosophy Digital Transformation and Innovation
• Master of Science Digital Transformation and Innovation
• Master of Digital Transformation and Innovation with Concentration in UX Design
• Master of Digital Transformation and Innovation with Concentration in Applied Data Science

Fees and Funding

• Program fees: The estimated amount for university fees associated with this program is available under the section Finance your studies.
• International students enrolled in a French-language program of study may be eligible for a differential tuition fee exemption.
• To learn about possibilities for financing your graduate studies, consult the Awards and financial support section.

Admission Requirements

To be eligible, candidates must:

• Have a Bachelors degree with a specialization or a major (or equivalent) in a relevant discipline with a minimum admission average of 70% (B).
• Have completed a course in statistics; a course in management information systems or computing; and two advanced courses showing specialization in one of three disciplines: creative arts and humanities (online multi-media or communications); management (digital transformation management or strategy); or technology (online application development or data science).
• Have a minimum of 2 years of experience and demonstrated proficiency in English.
• Students are responsible for having their own computers and a broadband connection to the Internet sufficient for videoconferencing.

Language Requirements

Most courses are delivered in English as the international language for advanced information technology. However, the program will provide an appropriately supportive environment for francophone students to develop professional competence in technical English at their own pace. Students have the right to complete all their work, including their thesis, in the official language of their choice (French or English).

Program Structure

To receive the Master of Digital Transformation and Innovation (Online), a student enrolled in the program must successfully complete 30 course units of academic work: 12 compulsory units and 18 optional course units.

Compulsory Courses

• DTO 5310: Ethics for Design, AI and Robotics
• DTO 5389: Digital Transformation Technologies
• DTO 6160: Innovation Management
• DTO 6231: Process Modelling, Mining, and Automation
• 18 optional course units from the list of optional courses

Optional Courses

A list of optional courses is provided, including:

• DTO 5100: Foundations and Applications of Machine Learning
• DTO 5101: Foundations of Machine Learning for Scientists and Engineers
• DTO 5120: Essential Concepts in Data Science
• DTO 5140: Engineering Design
• DTO 6106: User Research and User Experience Principles and Practice
• DTO 6107: Interaction Design and Design Thinking
• DTO 7103: Visual Literacy and User Experience Design Principles
• MEM 5111: Creativity and Innovation
• MEM 5119: Project Information Management
• MEM 5120: Product Development and Management
• MEM 5121: Taguchi Methods for Engineering R D
• MEM 5122: Operational Excellence and Lean Six Sigma
• MEM 5265: Business Intelligence and Performance Management
• MEM 5280: Principles of Operations Management
• MEM 5300: Principles of Data Analytics
• MEM 6100: Complex Project Management
• MEM 6281: Supply Chain Management
• MEM 6285: Project Risk Management
• MEM 6287: Advanced Data Analytics
• MIA 5310: Fundamentals of Cybersecurity
• MIA 6160: Cyber Security Systems and Strategies
• MIA 6360: Artificial Intelligence and Cybersecurity

Research at the University of Ottawa

The University of Ottawa ranks among Canadas top 10 research universities, with research founded on excellence, relevance, and impact, conducted in a spirit of equity, diversity, and inclusion. The research community thrives in four strategic areas:

• Creating a sustainable environment
• Advancing just societies
• Shaping the digital world
• Enabling lifelong health and wellness

Course Descriptions

Detailed descriptions are provided for each course, including:

• DTO 5100: Foundations and Applications of Machine Learning
• DTO 5101: Foundations of Machine Learning for Scientists and Engineers
• DTO 5120: Essential Concepts in Data Science
• DTO 5140: Engineering Design
• DTO 5310: Ethics for Design, AI and Robotics
• DTO 5389: Digital Transformation Technologies
• DTO 6106: User Research and User Experience Principles and Practice
• DTO 6107: Interaction Design and Design Thinking
• DTO 6160: Innovation Management
• DTO 6231: Process Modelling, Mining, and Automation
• DTO 7103: Visual Literacy and User Experience Design Principles